Pickl AI

MARCH 3, 2025

Summary: Business Intelligence Analysts transform raw data into actionable insights. They use tools and techniques to analyse data, create reports, and support strategic decisions. Key skills include SQL, data visualization, and business acumen. Introduction We are living in an era defined by data.

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Pickl AI

JULY 3, 2023

It is the process of converting raw data into relevant and practical knowledge to help evaluate the performance of businesses, discover trends, and make well-informed choices. Data gathering, data integration, data modelling, analysis of information, and data visualization are all part of intelligence for businesses.

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Business Intelligence Business Intelligence SQL Data Visualization 52

phData

DECEMBER 2, 2024

Power BI’s, and now Fabric’s ability to centralize dashboards and Semantic Models (formerly datasets) so that reporting is easily accessible and data can be shared without unnecessarily duplicating is second to none in the business intelligence product realm. What are Dataflows, and Why are They So Great?

Power BI 52

Power BI Data Modeling Data Models Data Visualization 52

phData

MAY 25, 2023

Two of the platforms that we see emerging as a popular combination of data warehousing and business intelligence are the Snowflake Data Cloud and Power BI. Debuting in 2015, Power BI has undergone meaningful updates that have made it a leader not just in data visualization, but in the business intelligence space as well.

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Pickl AI

JUNE 18, 2024

Summary: This blog dives into the most promising Power BI projects, exploring advanced data visualization, AI integration, IoT & blockchain analytics, and emerging technologies. Discover best practices for successful implementation and propel your organization towards data-driven success.

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Pickl AI

JANUARY 15, 2025

Furthermore, a study indicated that 71% of organisations consider Data Analytics a critical factor for enhancing their business performance. This blog will explore what Business Intelligence tools are, their functionalities, real-world applications, and address common questions surrounding them.

Business Intelligence 52

Business Intelligence Business Intelligence Power BI Data Visualization 52

Tableau

DECEMBER 1, 2021

In this blog post, I'll describe my analysis of Tableau's history to drive analytics innovation—in particular, I've identified six key innovation vectors through reflecting on the top innovations across Tableau releases. April 2018), which focused on users who do understand joins and curating federated data sources.

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IBM Journey to AI blog

JUNE 27, 2023

Two streams ran at speed in parallel—stakeholder interviews leading to a UI wire-frame design, and development of the UI in React alongside design and population of the data model. What possibilities did this data visualization project highlight?

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Data Modeling Data Models Data Scientist Data Visualization 66

phData

MARCH 28, 2024

In this blog, we will cover what tables and pivot tables are, the advantages and limitations of each, and the factors to consider when choosing which element to use. At the end of this blog, you will have a firm understanding of both elements and how to utilize each in your day-to-day data exploration. How do you Decide?

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Data Modeling Data Models Data Visualization SQL 52

Cambridge Intelligence

FEBRUARY 15, 2024

Most successful investigators bring data visualization into their due diligence workflow. Graph visualization (link analysis) and ‘pattern-of-life’ timelines are essential for compliance because they put users in control of the investigation, giving them an intuitive way to navigate and organize the information they’re exploring.

Data Visualization 64

Data Visualization Data Modeling Data Models 64

Cambridge Intelligence

FEBRUARY 20, 2024

Network visualization plays an important part in the anti-fraud management cycle In this blog post, we’ll look at credit card fraud and the graph and timeline visualization techniques that uncover the story behind the data. In our visual data model, nodes represent people and merchants, linked by transactions.

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Pickl AI

JULY 25, 2023

Proficient in programming languages like Python or R, data manipulation libraries like Pandas, and machine learning frameworks like TensorFlow and Scikit-learn, data scientists uncover patterns and trends through statistical analysis and data visualization. Data Visualization: Matplotlib, Seaborn, Tableau, etc.

Data Engineering 52

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Pickl AI

JANUARY 28, 2025

Introduction Business Intelligence (BI) architecture is a crucial framework that organizations use to collect, integrate, analyze, and present business data. This architecture serves as a blueprint for BI initiatives, ensuring that data-driven decision-making is efficient and effective. time, product) and facts (e.g.,

Business Intelligence 52

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Pickl AI

AUGUST 28, 2023

Key Features of Power BI: Power BI is a powerful business intelligence tool developed by Microsoft that enables users to visualize and analyze data from various sources. It offers a wide range of features that make it a popular choice for data professionals, analysts, and organizations. appeared first on Pickl AI.

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Power BI Data Analysis Data Analysis Data Visualization 52

IBM Journey to AI blog

JULY 6, 2023

It uses advanced tools to look at raw data, gather a data set, process it, and develop insights to create meaning. Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming. appeared first on IBM Blog.

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Machine Learning Machine Learning Data Science Big Data 70

Pickl AI

JUNE 12, 2023

Tableau can help Data Scientists generate graphs, charts, maps and data-driven stories, etc for purpose of visualisation and analysing data. But What is Tableau for Data Science and what are its advantages and disadvantages? Let’s read the blog to find out! How Professionals Can Use Tableau for Data Science?

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AWS Machine Learning Blog

JANUARY 5, 2024

Experiment notebooks Purpose : The customer’s data science team wanted to experiment with various datasets and multiple models to come up with the optimal features, using those as further inputs to the automated pipeline. He holds the AWS AI/ML Specialty certification and authors technical blogs on AI/ML services and solutions.

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Alation

FEBRUARY 20, 2020

By changing the cost structure of collecting data, it increased the volume of data stored in every organization. Additionally, Hadoop removed the requirement to model or structure data when writing to a physical store. You did not have to understand or prepare the data to get it into Hadoop, so people rarely did.

Data Lakes 52

Data Lakes Hadoop Tableau Big Data 52

Pickl AI

OCTOBER 17, 2023

Learn how Data Scientists use ChatGPT, a potent OpenAI language model, to improve their operations. ChatGPT is essential in the domains of natural language processing, modeling, data analysis, data cleaning, and data visualization. This will enhance the data preparation stage of machine learning.

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Data Scientist Machine Learning Machine Learning Data Science 52

Cambridge Intelligence

JUNE 18, 2024

In this blog post, I’ll outline three simple steps to create an interactive React Neo4j visualization tool. We’ll use ReGraph, our graph visualization SDK for React, and the StackOverflow sample dataset from the Neo4j Sandbox, but the approach can be adapted for any connected dataset stored in any kind of Neo4j instance.

Database 59

Database Data Modeling Data Models Data Visualization 59

Cambridge Intelligence

OCTOBER 19, 2023

That’s why our data visualization SDKs are database agnostic: so you’re free to choose the right stack for your application. Multi-model databases combine graphs with two other NoSQL data models – document and key-value stores. This blog post by Memgraph gives a good overview of the most popular options.

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Database Azure Analytics Analytics 59

Tableau

DECEMBER 1, 2021

In this blog post, I'll describe my analysis of Tableau's history to drive analytics innovation—in particular, I've identified six key innovation vectors through reflecting on the top innovations across Tableau releases. April 2018), which focused on users who do understand joins and curating federated data sources.

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AWS Machine Learning Blog

AUGUST 21, 2023

The capabilities of Lake Formation simplify securing and managing distributed data lakes across multiple accounts through a centralized approach, providing fine-grained access control. Solution overview We demonstrate this solution with an end-to-end use case using a sample dataset, the TPC data model. Choose Open Studio.

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phData

DECEMBER 10, 2024

With a focus on data visualization and behavioral analytics, Ive found Sigmas speed to insight, flexible platform, and intuitive UI to be game-changers for my work. In this blog, Ill share what we learned, my feedback on the experience, and who in your organization should consider attending future workshops!

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Clustering Analytics Analytics Data Visualization 52

Iguazio

JANUARY 14, 2025

Development - High quality model training, fine-tuning or prompt tuning, validation and deployment with CI/CD for ML. Application - Bringing business value to live applications through a real-time application pipeline that handles requests, data, model and validations. However, GPUs are scarce and expensive.

AI 52

AI AI Deep Learning Deep Learning 52

phData

JULY 17, 2023

The modern data stack refers to the collection of tools and platforms that have been developed to provide scalable and economical solutions to work with large volumes of data. The modern data stack is important because its suite of tools is designed to solve all of the core data challenges companies face.

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Data Warehouse Data Pipeline Cloud Data ETL 52

Cambridge Intelligence

NOVEMBER 19, 2024

This blog post explores how graph visualization brings digital twins to life. Graph visualization SDKs would have been a huge asset to those projects. To prove this, I built my own digital twin using the KeyLines graph visualization toolkit. What is a digital twin? What comes to mind when you think of a digital twin?

Data Visualization 52

Data Visualization Algorithm Data Wrangling Python 52

Pickl AI

JUNE 11, 2024

But raw data alone isn’t enough to gain valuable insights. This is where data warehouses come in – powerful tools designed to transform raw data into actionable intelligence. This blog delves into the world of data warehouses, exploring their functionality, key features, and the latest innovations.

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Data Warehouse ETL Data Mining Data Mining 52

AWS Machine Learning Blog

JUNE 22, 2023

He works on pioneering solutions for various industries using statistical modeling and machine learning techniques. His interest includes generative models and sequential data modeling. Her research interest includes model interpretability, causal analysis, human-in-the-loop AI and interactive data visualization.

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Tableau

OCTOBER 8, 2024

This means we can harness AI to help tackle the most common and pressing data and analytics challengesincluding fragmented data landscapes, a lack of trust in data, overlooked insights, and the reusability of analytics assetsin one platform. Learn more about how were addressing these challenges in our blog, What is Tableau Next?

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Tableau Analytics Analytics Data Lakes 52

Tableau

OCTOBER 8, 2024

This means we can harness AI to help tackle the most common and pressing data and analytics challenges—including fragmented data landscapes, a lack of trust in data, overlooked insights, and the reusability of analytics assets—in one platform. and see Tableau Einstein in action by watching our keynote at Dreamforce 2024.

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Tableau Analytics Analytics Data Lakes 52

Pickl AI

JULY 23, 2023

The ability to analyze and derive insights from vast amounts of data empowers businesses to make informed choices, optimize processes, and drive growth. In this blog, we will delve into four key types of analytics – Descriptive Analytics, Diagnostic Analytics, Predictive Analytics, and Prescriptive Analytics. Key Features: i.

Analytics 52

Analytics Analytics Predictive Analytics Data Analysis 52

Pickl AI

JANUARY 16, 2024

Summary: The blog delves into the 2024 Data Analyst career landscape, focusing on critical skills like Data Visualisation and statistical analysis. It identifies emerging roles, such as AI Ethicist and Healthcare Data Analyst, reflecting the diverse applications of Data Analysis.

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phData

SEPTEMBER 1, 2023

From the sheer volume of information to the complexity of data sources and the need for real-time insights, HCLS companies constantly need to adapt and overcome these challenges to stay ahead of the competition. In this blog, we’ll explore 10 pressing data analytics challenges and discuss how Sigma and Snowflake can help.

Analytics 52

Analytics Analytics Data Analysis Data Analysis 52

phData

MAY 11, 2023

Data literacy is increasing fast, and team members capable of administrating a business unit’s transactional system can also perform the cloud ETL of that system data to a Snowflake database via Matillion. In this blog post, we’ll discuss use cases for Zero-Code Development Life Cycle (ZDLC) in Matillion.

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ETL Analytics Analytics Data Modeling 52

Pickl AI

DECEMBER 4, 2023

In the realm of Data Intelligence, the blog demystifies its significance, components, and distinctions from Data Information, Artificial Intelligence, and Data Analysis. ” This notion underscores the pivotal role of data in today’s dynamic landscape. What is Data Intelligence in Data Science?

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phData

JULY 18, 2023

Enter dbt dbt provides SQL-centric transformations for your data modeling and transformations, which is efficient for scrubbing and transforming your data while being an easy skill set to hire for and develop within your teams. This can be critical to maintaining stakeholder buy-in and continued funding.

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